Impact of anesthesia depth on serum adiponectin, matrix metalloprotein 9 (MMP-9), and postoperative cognitive impairment in elderly patients with general anesthesia
Bibliographic record
Abstract
The aims of this study were to evaluate the impact of anesthesia depth on postoperative serum Adiponectin (ADP), MMP-9, S-100β protein concentration, and Postoperative Cognitive Dysfunction (POCD) in elderly patients with general anesthesia. A total of 120 elderly patients undergoing elective gastrointestinal surgery under general anesthesia were divided into 2 groups: Group A (n=60) was applied Closed Loop Target Controlled Infusion (CLTCI) to maintain the Bispectral Index (BIS) value of Electroencephalograph (EEG) as 45, and Group B (n=60) maintain the BIS value of EEG as 55. The MoCA scores in the two groups were decreased by different degrees after surgery. The MoCA scores in Group B on d’s 1 and 3 after surgery were higher than Group A (P<0.05). The serum concentrations of MMP-9 and S-100β in the two groups were significantly higher at T1, T2, and T3 (P<0.05), but the serum ADP concentrations were decreased. The serum concentrations of MMP-9 and S-100β in group B were lower than group A (P<0.05), while the serum ADP level was higher than group A (P<0.05). The anesthesia depth with the BIS value as 55 has less impairment toward the early postoperative cognitive function in elderly patients than that with BIS as 45, which may be related to the increased serum ADP and decreased serum MMP-9 levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".